{"id":"W6943573743","doi":"10.15468/dl.q4bpuu","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien; State (computer science)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000988087,0.001947543,0.001587778,0.005025764,0.001004235,0.002649765,0.002732294,0.002056872,0.1668455],"category_scores_gemma":[0.006218248,0.0008989213,0.001235514,0.009180511,0.0004322327,0.002315731,0.002532095,0.002027832,0.2281443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001551719,"about_ca_system_score_gemma":0.002230368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01954138,"about_ca_topic_score_gemma":0.03067621,"domain_scores_codex":[0.9989983,0.000139413,0.0001271228,0.0003568008,0.0002154236,0.0001629731],"domain_scores_gemma":[0.9974836,0.000783248,0.0002181066,0.0006356761,0.0006082762,0.0002712434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002970243,0.00001250791,0.0004203685,0.0006115295,0.00001616887,0.00001637384,0.00002582342,0.0001329171,0.0001305107,0.0003846842,0.9967318,0.001487737],"study_design_scores_gemma":[0.00007365441,0.000009400381,0.002014614,0.0002301236,0.0000167082,0.0000378058,0.00008525015,0.000170742,0.0002050779,0.0008306123,0.9963068,0.00001927772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004096696,0.00002642938,0.00004324028,0.00003777719,0.00001230593,0.000005611861,0.9988891,0.00035747,0.000587074],"genre_scores_gemma":[0.0001615779,0.000035225,0.0001957066,0.00004733332,0.000003697804,0.00004858347,0.9988686,0.0001516029,0.0004875258],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8331546,"threshold_uncertainty_score":0.5581537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}